Driven by a profound commitment to transform the workplace, I have dedicated my career to leveraging AI and data strategically to revolutionize efficiency and innovation. At the core of my professional journey is a passion for making AI operational, crafting complex technologies into tangible, practical solutions that significantly impact operational efficiency.
My extensive experience spans over two decades at leading multinational companies, including DSM-Firmenich, the United Nations, Nespresso, and Fair Trade Handels. Through these roles, I have successfully led high-value ML initiatives and driven major organizational transformations, particularly in data-driven environments.
Notably, as the R&D Principal Data Scientist at DSM-Firmenich, I pioneered innovative AI applications that generated over €70 million in value. My leadership at Fair Trade Handels resulted in the establishment of a new Department of Data Science & Reporting, transforming organizational data strategies. At the United Nations, I led a pivotal AI project on climate change, enhancing global understanding of its impacts on biodiversity, which underscores my expertise in applying AI across diverse scientific fields such as R&D, biology, and environmental science.
I am also recognized for my thought leadership in the AI and data science community, demonstrated by my role as a speaker at over 15 international conferences and my contributions to the development of new data standards and governance frameworks. My commitment to mentoring and building communities is evident in my successful guidance of data scientists and in fostering international research collaborations.
This career trajectory is not just about technological achievement but about inspiring and implementing a vision where AI and data science drive sustainable, transformative change across industries and societies.